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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 9910
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     sourcing
    -0.78
     sourced
    -0.68
     qualitative
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     redes
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     Logged
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     kernels
    -0.62
     embedded
    -0.62
     shipped
    -0.62
     retailer
    -0.62
     shoppers
    -0.62
    POSITIVE LOGITS
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    aed
    0.76
    esc
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     McCabe
    0.73
     Humph
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    apore
    0.72
    ontent
    0.71
    OTOS
    0.71
     Nun
    0.71
    abad
    0.70
    Activations Density 0.000%

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